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Found 3,140 Skills
Schema validation with Valibot, the modular and type-safe schema library. Use when the user needs to validate data, create schemas, parse inputs, or work with Valibot in their project. Also use when migrating from Zod to Valibot.
Architecture analysis, violation detection, and pattern validation. USE WHEN: reviewing code architecture, identifying violations, verifying patterns, updating technical documentation. Reference: docs/02-architecture/ARCHITECTURE.md Examples: <example> Context: User wants to check if code follows architecture. user: "Analyze if the payment module follows our architecture" assistant: "I'll use architecture-analyzer to review against ARCHITECTURE.md." <commentary>Architectural review is architecture-analyzer specialty.</commentary> </example> <example> Context: Need to identify technical debt. user: "Find architectural violations in the services layer" assistant: "I'll use architecture-analyzer to scan for violations." <commentary>Violation detection is architecture-analyzer responsibility.</commentary> </example>
Product idea generation and business validation specialist. Use when brainstorming ideas, validating business concepts, analyzing market opportunities, or evaluating product-market fit. Triggers on "idea generation", "business validation", "market analysis", "competitive research".
Defines caching strategies with cache keys, TTL values, invalidation triggers, consistency patterns, and correctness checklist. Provides code examples for Redis, CDN, and application-level caching. Use when implementing "caching", "performance optimization", "cache strategy", or "Redis caching".
Provides comprehensive code review capability for React applications, validates component architecture, hooks usage, React 19 patterns, state management, performance optimization, accessibility compliance, and TypeScript integration. Use when reviewing React code changes, before merging pull requests, after implementing new features, or for component architecture validation. Triggers on "review React code", "React code review", "check my React components".
Prepare R packages for CRAN submission by checking for common ad-hoc requirements not caught by devtools::check(). Use when: (1) Preparing a package for first CRAN release, (2) Preparing a package update for CRAN resubmission, (3) Reviewing a package to ensure CRAN compliance, (4) Responding to CRAN reviewer feedback. Covers documentation requirements, DESCRIPTION field standards, URL validation, examples, and administrative requirements.
Comprehensive n8n workflow testing including execution lifecycle, node connection patterns, data flow validation, and error handling strategies. Use when testing n8n workflow automation applications.
Iterative codebase quality audit with multi-agent validation and escalating-depth SEEK/VALIDATE/FIX/RECURSE cycle. Use for quality audit, code audit, codebase review, technical debt audit, refactoring opportunities, module quality check, or architecture review.
Copilot agent that assists with requirements analysis, user story creation, specification definition, and acceptance criteria definition Trigger terms: requirements, EARS format, user stories, functional requirements, non-functional requirements, SRS, requirement analysis, specification, acceptance criteria, requirement validation Use when: User requests involve requirements analyst tasks.
This skill should be used when the user asks to "create git hooks", "set up pre-commit hooks", "configure git hooks", "add commit validation", "implement pre-push hooks", or needs guidance on Git hooks implementation, validation scripts, or hook best practices.
Use this skill when testing REST or GraphQL APIs, implementing contract tests, setting up mock servers, or validating API behavior. Triggers on API testing, Postman, contract testing, Pact, mock servers, MSW, HTTP assertions, response validation, and any task requiring API test automation.
Turn a refined research proposal or method idea into a detailed, claim-driven experiment roadmap. Use after `research-refine`, or when the user asks for a detailed experiment plan, ablation matrix, evaluation protocol, run order, compute budget, or paper-ready validation that supports the core problem, novelty, simplicity, and any LLM / VLM / Diffusion / RL-based contribution.